Systems and Methods for Digital Content Provision

2. The computer-implemented method of claim 1, wherein the training data comprises a first training instance of the plurality of training instances associated with a second audio content item.

3. The computer-implemented method of claim 2, wherein the first training instance comprises audio content information associated with the second audio content item and historical user interaction information associated with the second audio content item.

4. The computer-implemented method of claim 3, wherein the audio content information comprises Mel spectrogram information associated with the second audio content item.

6. The computer-implemented method of claim 5, wherein each segment of the plurality of segments represents one beat of the second audio content item.

8. The computer-implemented method of claim 1, wherein the first audio content item is divided into a plurality of segments, and the machine learning model is configured to output, for at least some of the segments of the plurality of segments, a score indicative of a likelihood for a user to share a clip of the first audio content item that begins with the respective segment.

9. The computer-implemented method of claim 8, wherein determining the portions in the first audio content item that satisfy the sharing threshold based on the machine learning model comprises determining the portions in the first audio content item based on the scores.

12. The system of claim 11, wherein the training data comprises a first training instance of the plurality of training instances associated with a second audio content item.

13. The system of claim 12, wherein the first training instance comprises audio content information associated with the second audio content item and historical user interaction information associated with the second audio content item.

14. The system of claim 13, wherein the audio content information comprises Mel spectrogram information associated with the second audio content item.

15. The system of claim 13, wherein the second audio content item is divided into a plurality of segments, and the historical user interaction information comprises: for one or more segments of the plurality of segments, a share frequency value indicative of how frequently users on a content platform have shared a clip of the second audio content item that begins with the respective segment.

17. The non-transitory computer-readable storage medium of claim 16, wherein the training data comprises a first training instance of the plurality of training instances associated with a second audio content item.

18. The non-transitory computer-readable storage medium of claim 17, wherein the first training instance comprises audio content information associated with the second audio content item and historical user interaction information associated with the second audio content item.

19. The non-transitory computer-readable storage medium of claim 18, wherein the audio content information comprises Mel spectrogram information associated with the second audio content item.

20. The non-transitory computer-readable storage medium of claim 18, wherein the second audio content item is divided into a plurality of segments, and the historical user interaction information comprises: for one or more segments of the plurality of segments, a share frequency value indicative of how frequently users on a content platform have shared a clip of the second audio content item that begins with the respective segment.